# Lakebase Sales Specialist

**Company:** [Databricks](https://hotfix.jobs/companies/databricks)
**Location:** Seoul, South Korea, Tokyo, Japan
**Role:** Account Executive
**Experience:** 7+ years
**Skills:** Postgres, MySQL, Dbaas, Oltp, Reverse Etl, AWS, Microsoft Azure, GCP, Microservices, Event-Driven Architecture, AI/ML, Lakehouse, Value Selling, Enterprise Saas, Proof Of Concept
**Posted:** 2026-08-11

> Drives enterprise adoption and revenue for Databricks Lakebase, a managed Postgres service for operational and AI-native applications. The role requires 7+ years of complex SaaS sales experience, strong database and cloud architecture knowledge, and the ability to engage technical and executive buyers.

## Job Description

## Responsibilities
- Drive new Lakebase revenue by identifying, qualifying, and closing opportunities within a defined territory, partnering with regional Account Executives and account teams.
- Articulate Lakebase value to platform teams, developers, data teams, and central IT, focusing on faster feature delivery, simplified operational data architectures, governance, and cost efficiency.
- Sell fully managed Postgres for intelligent applications and real-time, AI-driven operational workloads.
- Run complex, multi-threaded sales cycles from discovery and value hypothesis through negotiation and close.
- Orchestrate proof-of-value projects and POCs for OLTP workloads, reverse ETL, and AI/ML-driven applications with solution architects and specialists.
- Compete against legacy and cloud-native operational databases using competitive assets, benchmarks, and customer references.
- Tie technical capabilities to measurable outcomes including performance, developer productivity, time-to-market, cost reduction, and architectural simplification.
- Partner with Product Management, Marketing, Customer Success, and Partner teams on territory plans, launch plays, and co-selling motions.
- Enable field teams by sharing Lakebase best practices, success stories, and sales motions.
- Establish strategic focus accounts by engaging application development teams to create intelligent applications with Lakebase.
- Drive Postgres standardization and migration within strategic accounts.
- Track revenue, pipeline, and business observations; identify areas requiring additional focus or support.
- Engage priority accounts across the global DB700 and drive strategic opportunities through successful outcomes.
- Build and execute enablement plans for Account Executives and Solution Architects.
- Contribute to internal forums and events and represent Databricks at relevant industry events.

## Requirements
- 7+ years of enterprise SaaS sales experience with consistent quota attainment in complex, multi-stakeholder deals.
- Proven success selling data platforms, operational databases such as Postgres or MySQL, cloud-native DBaaS, or adjacent data and AI infrastructure.
- Strong understanding of modern data and application architectures, including cloud-native services, microservices, event-driven systems, and operational data's role in AI and analytics.
- Ability to sell to developers, architects, data engineers, product leaders, operations leaders, and line-of-business owners.
- Experience leading specialist or overlay sales motions with core Account Executives.
- Executive presence, including the ability to whiteboard architectures, lead C-level conversations, and build trust with senior decision-makers.
- Strong value-selling skills, including pain discovery, business-case development, and quantifying outcomes.
- Excellent communication, storytelling, presentation, and negotiation skills.
- Bachelor’s degree or equivalent practical experience.

## Preferred Qualifications
- Experience selling Postgres, operational databases, OLTP workloads, or transactional cloud database services to large or strategic accounts.
- Familiarity with data platforms, lakehouse architectures, and AWS, Azure, or Google Cloud ecosystems.
- Understanding of reverse ETL, real-time decisioning, and operational analytics use cases.
- Exposure to AI-native and agent-driven applications requiring low-latency, scalable operational data services.
- Experience in a high-growth, category-creating environment shaping sales plays, messaging, and customer narratives.
- Experience collaborating with partners and ISVs on joint pipeline and co-selling motions.

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